Power and sample size estimation for the clustered wilcoxon test.
Power and sample size estimation for the clustered wilcoxon test.
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DOI：
10.1111/j.1541-0420.2010.01488.x
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发表时间：
2011-06
期刊：
影响因子：
1.9
通讯作者：
Glynn RJ
中科院分区：
文献类型：
--
作者：
Rosner B;Glynn RJ
Wilcoxon秩和检验被广泛用于非正态数据的两组比较。该测试的假设是组内和组之间的采样单元的独立性，这将在诸如眼科临床试验的集群化数据设置中被违反，其中随机单元是对象，但分析单元是个体眼睛。为此，我们提出了聚类Wilcoxon检验来解释同一聚类内多个亚基之间的聚类。然而，为了计划使用这种分析方法的研究，需要进行功率估计。我们最近发表了估计普通Wilcoxon秩和检验的幂和样本量的方法。在这篇文章中，我们提出了这种方法的扩展，以估计聚集的Wilcoxon检验的功率。仿真研究表明，估计功率与经验功率之间有很好的一致性。这些方法用眼科随机试验的例子进行了说明。通过使用子单元作为分析单元，而不是使用普通的Wilcoxon秩和检验来实现增强的能力。
The Wilcoxon rank sum test is widely used for two-group comparisons of non-normal data. An assumption of this test is independence of sampling units both within and between groups which will be violated in the clustered data setting such as in ophthalmological clinical trials, where the unit of randomization is the subject, but the unit of analysis is the individual eye. For this purpose, we have proposed the clustered Wilcoxon test to account for clustering among multiple subunits within the same cluster. However, power estimation is needed to plan studies that use this analytic approach. We have recently published methods for estimating power and sample size for the ordinary Wilcoxon rank sum test. In this paper we present extensions of this approach to estimate power for the clustered Wilcoxon test. Simulation studies show good agreement between estimated and empirical power. These methods are illustrated with examples from randomized trials in ophthalmology. Enhanced power is achieved with use of the subunit as the unit of analysis instead of the cluster using the ordinary Wilcoxon rank sum test.
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影响因子：
--
作者：
Berson, EL;Rosner, B;Schaefer, E
通讯作者：
Schaefer, E
影响因子：
1.9
作者：
Rosner, B.;Glynn, R. J.
通讯作者：
Glynn, R. J.
影响因子：
1.8
作者：
WOLFE, DA;HOGG, RV
通讯作者：
HOGG, RV
影响因子：
--
作者：
Berson, EL;Rosner, B;Schaefer, E
通讯作者：
Schaefer, E
影响因子：
1.9
作者：
Rosner, B;Glynn, RJ;Lee, MLT
通讯作者：
Lee, MLT